Prediction of obstructive sleep apnea using Fast Fourier Transform of overnight breath recordings

Prediction of obstructive sleep apnea using Fast Fourier Transform of overnight breath recordings

The objective of this study is to address the problem of predicting the risk of obstructive sleep apnea (OSA) from overnight breath recordings collected by a subject using a smartphone or an iPhone. The dataset used in this study was collected at a health care facility and consists of breathing ampl...

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Bibliographic Details
Main Authors: Nicole L. Molin, Clifford Molin, Rohan J. Dalpatadu, Ashok K. Singh
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Machine Learning with Applications
Subjects:
Obstructive sleep apnea
Machine learning
Smartphone
Application
Screening
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827021000037

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http://www.sciencedirect.com/science/article/pii/S2666827021000037

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